Amphorae from the citadel of Roses (High Empire, Low Empire and Late Antiquity) = Les Àmfores de la Ciutadella de Roses (Alt Imperi, Baix Imperi i Antiguitat tardana)
Bibliographic record
Abstract
La història de la recerca arqueològica a Roses és llarga i complicada, plena de vacil·lacions, d’aturades, d’intensos moments de perill que feien pensar en la desaparició física d’un conjunt que s’acabava de declarar monument historicoartístic. I, tanmateix, a partir de 1945, amb més o menys continuïtat i dedicació, les campanyes d’excavació, de neteja, de consolidació, de diferent intensitat i durada, han estat una constant. Aquells treballs permeteren recuperar una quantitat extraordinària de material arqueològic que, per diverses raons, no fou publicat o només ho ha estat puntualment, i que estava en perill de romandre en els llims pels segles dels segles. Aquesta publicació que teniu a les mans enceta una nova col·lecció que pretén omplir aquest vuit i proporcionar a investigadors, erudits i interessats un cúmul de dades que, d’altra manera, es perdrien per sempre
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".